As a shared database
infrastructure in the cloud, SQL Azure provides the opportunity for creating
large workloads in a scalable and reliable environment. In this session we will
cover:

·        
The considerations
you should take and describe the methodology we use to make these design
decisions. 

·        
When to use a single
instance, when to use federations, when to use table/blob storage to
potentially offload historical data

·        
For these all
important questions we will walk through a number of examples to show how we
have made the trade-offs and why. 

·        
We will also cover
the techniques and methodology we use to monitor SQL Azure performance and
describe how you can leverage your on-premise skills in the cloud.

performance , Azure